Eric Chen
6 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Core AI · Artificial Intelligence
(3)
Core Methods
(3)
Deep Learning
(2)
Architectures
(2)
Learning Types
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Clinical
(1)
Core AI · Computer Vision
(1)
Keywords
zero-shot learning
(1)
policy optimization
(1)
manifold learning
(1)
text classification
(1)
mathematical reasoning
(1)
interpretable machine learning
(1)
feature matching
(1)
geometric deep learning
(1)
constrained optimization
(1)
riemannian manifold
(1)
variable importance
(1)
foundation model
(1)
exploration bonus
(1)
intrinsic reward
(1)
feature visualization
(1)
semantic correspondence
(1)
generalized additive model
(1)
hyperbolic space
(1)
extrinsic reward
(1)
llm-generated text detection
(1)
Papers
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
AAAI 2025
Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
ICML 2025
Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text
SemEval 2024
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
CVPR 2024
Riemannian Residual Neural Networks
NeurIPS 2023
Redeeming intrinsic rewards via constrained optimization
NeurIPS 2022